SMA Trading Algorithms · Page 2

Enters long when short-term RSI is below a threshold relative to long-term RSI and short-term SMA is above long-term SMA.

A strategy using RSI, EMA, ADX, and DI indicators for trading

Identifies support and resistance levels, detects breakouts, and confirms with trend strength and moving averages.

Simple moving-average-based trading signal for S&P 500 E-mini futures

Simple Moving Average crossover strategy with 5% stop-loss and 0.1% transaction cost

A trend-following bot for EURUSD H1 with specific stop loss, take profit, and risk management parameters.

A long-only Donchian breakout system with ATR-adaptive entry buffer and dual moving-average regime filter.

Genetic algorithm with 3-condition AND logic for entry/exit

Intraday trading system using technicals, macro, and positioning signals with ATR-based stops and position sizing.

Filters for range-bound markets using SMA and IV percentile

Enters long when short-term SMAs on 2h and daily timeframes cross above long-term SMAs, and enters short when they cross below.

Uses SMAs for long entry and exit based on price conditions and stop loss.

Enters trades based on 7-period SMA crossing 20-period SMA, with break-even and profit targets.

A fully automated MetaTrader 5 Expert Advisor using a three-layer confluence system for trend following and adaptive money management.

Buys 1 contract every time price drops by 20 points from the last trade price, exits when total profit reaches 50 points.

Automated DCA Grid Trading Strategy for NinjaTrader 8

Automated MetaTrader 4 strategy for EURUSD using EMA and SMA to identify reversal breakouts with pending STOP orders.

Automates trading decisions using MACD crossover, CCI confirmation, and SMA trend filtering.

Merges trend analysis via SMA with ATR-scaled deviations to highlight trend changes and price distribution.

Strategy based on monthly, weekly, and daily SMA crossovers with volume filter

SMA crossover strategy with adjustable stop loss and take profit levels

A daily trading strategy for BTC/USD using moving averages, momentum oscillators, and trend strength indicators.

Opens long positions when the previous H1 candle is bullish, the current H1 candle has open-low<2, and the price crosses above the H1 high of the previous candle.

Trend-following bot with multi-layer entry confirmation and risk-based position management for NAS100 on M5 timeframe.

Buy when the close is above the upper Donchian channel band and the 52-period simple moving average of relative force is greater than the relative force, with both lines in an upward trend.

Strategy uses SMA, EMA, and ROC to enter long and short positions.

Enters long or short based on Donchian channel breakouts and sets stop loss and target levels.

Enters long or short positions based on crossovers with Keltner channels.

Enters long when Heikin Ashi candles confirm a bullish trend and exits on bearish confirmation; similar logic for short entries and exits.

Enters long when SMA10 crosses over SMA5, Stochastic is above 55, and RSI is above 45, and enters short when SMA10 crosses under SMA5, Stochastic is below -55, and RSI is below 55.

Buys on Monday at 17:45 if the previous day's close is below the 34-day SMA and exits on Wednesday at 09:00.

Generates long or short signals based on RSI(5) and SMA(25) crossovers.

Enters trades based on RSI and MA conditions with stop loss and take profit levels.

Shorts entries in the last minute of European trading session when the market is overbought.

Enters long when price is above SMA200 and Bollinger Bands are contracting upwards, and exits based on SAR and time.

Buy when 38-day SMA is 3% above 200-day SMA and sell when it crosses below 3%.

A long-term system based on a Supersmoother and a 40-period SMA for capital preservation.

Buys when close is above SMA and candle is green, sells when close is below SMA and candle is red.